The DOI matches its Crossref record; 221 of the 221 references it cites were found in a registry or an index.
Self-Powered Sensors and Systems Based on Nanogenerators
Open accessAbstract
Sensor networks are essential for the development of the Internet of Things and the smart city. A general sensor, especially a mobile sensor, has to be driven by a power unit. When considering the high mobility, wide distribution and wireless operation of the sensors, their sustainable operation remains a critical challenge owing to the limited lifetime of an energy storage unit. In 2006, Wang proposed the concept of self-powered sensors/system, which harvests ambient energy to continuously drive a sensor without the use of an external power source. Based on the piezoelectric nanogenerator (PENG) and triboelectric nanogenerator (TENG), extensive studies have focused on self-powered sensors. TENG and PENG, as effective mechanical-to-electricity energy conversion technologies, have been used not only as power sources but also as active sensing devices in many application fields, including physical sensors, wearable devices, biomedical and health care, human–machine interface, chemical and environmental monitoring, smart traffic, smart cities, robotics, and fiber and fabric sensors. In this review, we systematically summarize the progress made by TENG and PENG in those application fields. A perspective will be given about the future of self-powered sensors.
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Citations
Cites
Piezoelectric Nanogenerators Based on Zinc Oxide Nanowire Arrays
Wang, Z. L., & Song, J. (2006) · Science · doi:10.1126/science.1124005 · Cited by 7,922
Self-citationWang, Z. L. (2013) · ACS Nano · doi:10.1021/nn404614z · Cited by 3,058
Self-citationDirect-Current Nanogenerator Driven by Ultrasonic Waves
Wang, X., Song, J., Liu, J., & Wang, Z. L. (2007) · Science · doi:10.1126/science.1139366 · Cited by 2,260
Self-citationOn Maxwell's displacement current for energy and sensors: the origin of nanogenerators
Wang, Z. L. (2017) · Materials Today · doi:10.1016/j.mattod.2016.12.001 · Cited by 2,083
Self-citationOn the origin of contact-electrification
Wang, Z. L., & Wang, A. C. (2019) · Materials Today · doi:10.1016/j.mattod.2019.05.016 · Cited by 1,781
Self-citationWang, Z. L. (2014) · Faraday Discuss. · doi:10.1039/c4fd00159a · Cited by 1,749
Self-citationA droplet-based electricity generator with high instantaneous power density
Xu, W., Zheng, H., Liu, Y., Zhou, X., Zhang, C., Song, Y., Deng, X., Leung, M., Yang, Z., Xu, R. X., et al. (2020) · Nature · doi:10.1038/s41586-020-1985-6 · Cited by 1,624
Self-citationDong, K., Peng, X., & Wang, Z. L. (2020) · Advanced Materials · doi:10.1002/adma.201902549 · Cited by 1,322
Self-citationPu, X., Liu, M., Chen, X., Sun, J., Du, C., Zhang, Y., Zhai, J., Hu, W., & Wang, Z. L. (2017) · Science Advances · doi:10.1126/sciadv.1700015 · Cited by 1,218
Self-citationZnO nanowire and nanobelt platform for nanotechnology
Wang, Z. L. (2009) · Materials Science and Engineering: R: Reports · doi:10.1016/j.mser.2009.02.001 · Cited by 1,157
Self-citation
Cited by
Machine-knitted washable sensor array textile for precise epidermal physiological signal monitoring
Fan, W., He, Q., Meng, K., Tan, X., Zhou, Z., Zhang, G., Yang, J., & Wang, Z. L. (2020) · Science Advances · doi:10.1126/sciadv.aay2840 · Cited by 516
Self-citationRecent progress in blue energy harvesting for powering distributed sensors in ocean
Zhao, T., Xu, M., Xiao, X., Ma, Y., Li, Z., & Wang, Z. L. (2021) · Nano Energy · doi:10.1016/j.nanoen.2021.106199 · Cited by 293
Self-citationUltrahigh Electricity Generation from Low-Frequency Mechanical Energy by Efficient Energy Management
Wang, Z., Liu, W., He, W., Guo, H., Long, L., Xi, Y., Wang, X., Liu, A., & Hu, C. (2021) · Joule · doi:10.1016/j.joule.2020.12.023 · Cited by 283
Self-citationDesign, manufacturing and applications of wearable triboelectric nanogenerators
Wang, H., Han, M., Song, Y., & Zhang, H. (2021) · Nano Energy · doi:10.1016/j.nanoen.2020.105627 · Cited by 179
Metadata
- Authors
- Wu, Z., Cheng, T., & Wang, Z. L.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2020-05-21
- Volume
- 20
- Issue
- 10
- Pages
- 2925
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W3028262887
- Cited by
- 323
- References
- 221
- FWCI
- 14.45
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
